Results 141 to 150 of about 7,242 (173)
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Introducing the select and split fuzzy cell Hough transform
Proceedings of 13th International Conference on Pattern Recognition, 1996In this paper a new variation of Hough transform is proposed. The parameter space of Hough transform is recursively roughly split into fuzzy cells which are defined as fuzzy numbers. This fuzzy partition of the parameter space provides the advantage to use the uncertainty of the contour points location, which is increased when noisy images have to be ...
Vassilios Chatzis, Ioannis Pitas
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Hough and Fuzzy Hough Transform in Music Tunes Recognition Systems
2009This paper presents a method of music tunes recognition based on the Hough transform as well as its fuzzy version. One can also find here experimental results showing the effectiveness of the presented solutions. Perspectives of further work and quality improvements are also stated as a base for subsequent research.
Maciej Hrebien, Józef Korbicz
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A novel fuzzy Hough transform for shape representation
1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228), 2002Three techniques of straight line Hough transform are proposed by a generalised mathematical formulation of the Hough transform in terms of aggregation and weight functions. Amongst these techniques, inclusive of the conventional Hough transform, it is shown by experimental results on a set of 3D nonparametric objects, and in a controlled and inherent ...
R. Soodamani, Z.Q. Liu
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Implementation of autonomous vehicles with the hough transform and fuzzy control
SICE Annual Conference 2007, 2007An automatic driving system for a golf car is developed and tested in the campus. The system utilizes a single vision sensor CCD and adopts the road-model-matching method to obtain the lane marks by applying the Hough transform method. Compared with the inverse perspective mapping (IPM) method of which is affected greatly by the position, yaw and tilt ...
null Yu-Kuen Tsai +3 more
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Effective Detection of Nucleus in Cytodiagnosis by Employing Combinatorial Fuzzy Hough Transform
Journal of Intelligent & Fuzzy Systems, 1997Hough transform is an effective method for line detection in a digital image. However, the conventional Hough transform can not be applied well enough for an image corrupted by heavy noise. This paper describes a combinatorial fuzzy Hough transform, which enables a detection of not only a blurred line, but also a segment of a line in a very noisy image.
Eiji Uchino +2 more
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Fuzzy Hough transformation in aiding computer tomography based liver diagnosis
2019 IEEE AFRICON, 2019In the liver many types of roundish lesions can appear, as well as near the liver. Finding the contour of such objects can improve both the segmentation of the liver from its environment, and the segmentation of the lesions within the liver. However, classical Hough transform, which is one of the main methods for finding objects described by a ...
Szilvia Nagy +3 more
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Efficient Combination of the Fuzzy Hough Transform and the Burns Segment Detector
2007This paper describes a computational framework for the fully automated detection of line segments in 2D digital images. The operation of the framework is divided in two stages, the low level directional primitive detection through Gabor wavelets and growing cell structures, and the segment detection through an efficient and very accurate combination of
Marta Penas +3 more
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Pipes Localization Method Based on Fuzzy Hough Transform
2017In this paper a novel method of pipes detection in images on an industrial enterprise is proposed. Detailed description of preprocessing procedures is given. Method is supposed to work with grayscale images. First, contrast of the source image is increased. Then smoothing procedure is applied to reduce noise influence.
Egor Pugin +2 more
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Blood cell image segmentation based on the Hough transform and fuzzy curve tracing
2011 International Conference on Machine Learning and Cybernetics, 2011Segmentation of blood cells is a difficult task because of the presence of noise and the substantial brightness changes within cells in microscopy images. A method based on the Hough transform and fuzzy curve tracing is proposed in this paper. The Hough transform is used to detect the rough circular boundary of each cell.
Pearl P. Guan, Hong Yan 0001
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Generalized Fuzzy Hough Transform for Detecting Arbitrary Shapes in a Vague and Noisy Image
Soft Computing, 2006A generalized Hough transform is an effective method for an arbitrary shape detection in a contour image. However, the conventional generalized Hough transform is not suitable for a noisy and blurred image. This paper describes a generalized fuzzy Hough transform which is derived by fuzzifying the vote process in the Hough transform.
Noriaki Suetake +2 more
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